555cc61146ae28d1ddd7e396f1afdc0a81a3d964,aif360/sklearn/tests/test_reweighing.py,,test_gridsearch,#,44

Before Change

    clf = GridSearchCV(rew, params, cv=5)
    // TODO: "groups" name clashes with CV splitter
    fit_params = {"pa_groups": X.index.get_level_values("sex"),
                  "sample_weight": np.random.random(y.shape)}
    clf.fit(X, y, **fit_params)
    // print(clf.score(X, y))
    assert len(clf.best_estimator_.reweigher_.groups_) == 2

After Change

        return accuracy_score(y_true, y_pred, sample_weight=sample_weight[idx])
    scoring = make_scorer(score_func, **{"sample_weight": sample_weight})

    params = {"estimator__C": [1, 10], "reweigher__prot_attr": ["sex"]}

    clf = GridSearchCV(rew, params, scoring=scoring, cv=5, iid=False)
    clf.fit(X, y, **{"sample_weight": sample_weight})

Instances